Using the the density(D)-mass(m)-volume(V) formula 
, we can calculate the volume 
Harriet earns the same amount of money each day. Her gross pay at the end of 7 workdays is 35h+56 dollars.which expression repre
1 answer:
The expression 5h+8 represents Harriet's gross pay each day.
Step-by-step explanation:
Given,
Gross pay of Harriet = 35h + 56
This expression represent Harriet's pay for 7 day.
Harriet's gross pay per day =
Harriet's gross pay per day =
Harriet's gross pay per day =
Harriet's gross pay per day = 5h+8
The expression 5h+8 represents Harriet's gross pay each day.
Keywords: division, addition
Learn more about division at:
#LearnwithBrainly
You might be interested in
Answer:
B
Step-by-step explanation:
- Parabola that is opening upward has the form
- Parabola opening downward has the form
- Parabola opening leftward has the form
- Parabola opening rightward has the form
Where a is a constant
Now, looking at the graph given, it takes the form
Where a is 3 (matching the answer).
Hence, B is the correct answer choice.
Correct question
Sale Price :160 | 180 | 200 | 220 | 240 | 260 | 280
New home : 126 | 103 | 82 | 75 | 82 | 40 | 20
A.) state the linear regression function that estimates the number of new homes available at a specific price.
B.) state the correlation Coefficient of the data, and explain what it means in the context of the problem
Answer:
Y = -0.79X + 249.86
R = -0.9543
Step-by-step explanation:
Sale Price :160 | 180 | 200 | 220 | 240 | 260 | 280
New home : 126 | 103 | 82 | 75 | 82 | 40 | 20
Calculate the Linear regression equation :
Using the linear regression calculator :
The linear regression equation is :
Y = -0.79X + 249.86
The correlation Coefficient 'R' measures the strength of statistical relationship between the relative movement of two variables. The The value of R is -0.9543 in the question above.
This is a strong negative correlation, which means that high sales price of homes scores correlates with low number of new homes scores (and vice versa). Homes with high sales price have fewer number of new homes.
Answer:
And rounded we got 1681
Step-by-step explanation:
Previous concepts
A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".
The margin of error is the range of values below and above the sample statistic in a confidence interval.
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
represent the real population proportion of interest
represent the estimated proportion for the sample
n is the sample size required (variable of interest)
represent the critical value for the margin of error
Solution to the problem
The population proportion have the following distribution
In order to find the critical value we need to take in count that we are finding the interval for a proportion, so on this case we need to use the z distribution. Since our interval is at 90% of confidence, our significance level would be given by and
. And the critical value would be given by:
The margin of error for the proportion interval is given by this formula:
(a)
And on this case we have that and we are interested in order to find the value of n, if we solve n from equation (a) we got:
(b)
We can assume that the estimates proportion is 0.5 since we don't have other info provided to assume a different value. And replacing into equation (b) the values from part a we got:
And rounded we got 1681